



'''simple docstring'''






from ...configuration_utils import PretrainedConfig

class 				a__(   lowerCamelCase__      ):
    lowercase__					=       """bert-generation"""







    def __init__( self					:    Tuple		,     __snake_case					:    int=5_03_58		,     __snake_case					:    Union[str, Any]=10_24		,     __snake_case					:    List[str]=24		,     __snake_case					:    Any=16		,     __snake_case					:    Tuple=40_96		,     __snake_case					:    int="gelu"		,     __snake_case					:    List[str]=0.1		,     __snake_case					:    Optional[int]=0.1		,     __snake_case					:    Dict=5_12		,     __snake_case					:    str=0.02		,     __snake_case					:    List[Any]=1e-1_2		,     __snake_case					:    Union[str, Any]=0		,     __snake_case					:    str=2		,     __snake_case					:    int=1		,     __snake_case					:    Optional[Any]="absolute"		,     __snake_case					:    str=True		,     **__snake_case					:    List[str]		,     ):
      super().__init__(pad_token_id=__snake_case		,     bos_token_id=__snake_case		,     eos_token_id=__snake_case		,     **__snake_case      )

      a		:   List[str]	  =	vocab_size
      a		:   List[Any]	  =	hidden_size
      a		:   List[str]	  =	num_hidden_layers
      a		:   Optional[int]	  =	num_attention_heads
      a		:   str	  =	hidden_act
      a		:   Optional[Any]	  =	intermediate_size
      a		:   Union[str, Any]	  =	hidden_dropout_prob
      a		:   List[str]	  =	attention_probs_dropout_prob
      a		:   Optional[int]	  =	max_position_embeddings
      a		:   Any	  =	initializer_range
      a		:   List[Any]	  =	layer_norm_eps
      a		:   Tuple	  =	position_embedding_type
      a		:   Dict	  =	use_cache




'''simple docstring'''






def  lowerCamelCase__			(		_A					,     _A					,     _A=False							):

  if isinstance(_A					,     _A							) and isinstance(_A					,     _A							):
    a		:   Tuple	  =	len(set_a.intersection(_A							)							)

    if alternative_union:
      a		:   Union[str, Any]	  =	len(_A							) + len(_A							)
    else:
      a		:   Optional[Any]	  =	len(set_a.union(_A							)							)

    return intersection / union

  if isinstance(_A					,     (list, tuple)							) and isinstance(_A					,     (list, tuple)							):
    a		:   int	  =	[element for element in set_a if element in set_b]

    if alternative_union:
      a		:   Optional[int]	  =	len(_A							) + len(_A							)
      return len(_A							) / union
    else:
      a		:   Tuple	  =	set_a + [element for element in set_b if element not in set_a]
      return len(_A							) / len(_A							)

    return len(_A							) / len(_A							)
  return None


if __name__ == "__main__":
     lowerCAmelCase:   str					=		{'a', 'b', 'c', 'd', 'e'}
     lowerCAmelCase:   Optional[Any]					=		{'c', 'd', 'e', 'f', 'h', 'i'}
     print(jaccard_similarity(set_a, set_b))